Demographics details for Taylor, MI vs Woodbine, MD
Population Overview
Compare main population characteristics in Taylor, MI vs Woodbine, MD.
| Data | Taylor | Woodbine |
|---|---|---|
| Population | 62,258 | 8,124 |
| Median Age | 37.9 years | 38.0 years |
| Median Income | $59,352 | $115,000 |
| Married Families | 33.0% | 65.0% |
| Poverty Level | 12% | 4% |
| Unemployment Rate | 6.2 | 3.5 |
Population Comparison: Taylor vs Woodbine
- In Taylor, the population is higher at 62,258, compared to 8,124 in Woodbine.
- The median age in Woodbine is higher at 38.0 years, compared to 37.9 years in Taylor.
- Woodbine has a higher median income of $115,000, compared to $59,352 in Taylor.
- In Woodbine, the percentage of married families is higher at 65.0%, compared to 33.0% in Taylor.
- Taylor has a higher poverty level at 12% compared to 4% in Woodbine.
- The unemployment rate in Taylor is higher at 6.2%, compared to 3.5% in Woodbine.
Demographics
Demographics Taylor vs Woodbine provide insight into the diversity of the communities to compare.
| Demographic | Taylor | Woodbine |
|---|---|---|
| Black | 21 | 10 |
| White | 63 | 85 |
| Asian | 1 | 2 |
| Hispanic | 8 | 3 |
| Two or More Races | 7 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Taylor vs Woodbine
- A higher percentage of Black residents are in Taylor at 21% compared to 10% in Woodbine.
- The percentage of White residents is higher in Woodbine at 85% compared to 63% in Taylor.
- In Woodbine, the Asian population stands at 2%, greater than 1% in Taylor.
- The Hispanic community is larger in Taylor at 8% compared to 3% in Woodbine.
- More residents identify as two or more races in Taylor at 7% compared to 0% in Woodbine.
- The percentage of American Indian residents is the same in both Taylor and Woodbine at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Taylor | Woodbine |
|---|---|---|
| Mental Health Not Good | 18.7% | Data is updating% |
| Physical Health Not Good | 12.7% | Data is updating% |
| Depression | 25.0% | Data is updating% |
| Smoking | 23.8% | Data is updating% |
| Binge Drinking | 18.0% | Data is updating% |
| Obesity | 34.4% | Data is updating% |
| Disability Percentage | 15.0% | Data is updating% |
Health Statistics Comparison: Taylor vs Woodbine
- More residents in Taylor report poor mental health at 18.7% compared to 0.0% in Woodbine.
- Depression is more prevalent in Taylor at 25.0% compared to 0.0% in Woodbine.
- Smoking is more prevalent in Taylor at 23.8% compared to 0.0% in Woodbine.
- Binge drinking is more common in Taylor at 18.0% compared to 0.0% in Woodbine.
- Obesity rates are higher in Taylor at 34.4% compared to 0.0% in Woodbine.
- Disability percentages are higher in Taylor at 15.0% compared to 0.0% in Woodbine.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Taylor | Woodbine |
|---|---|---|
| No Schooling | 1.0% (629) | 0.0% (Data is updating) |
| High School Diploma | 22.8% (14,189) | 0.0% (Data is updating) |
| Less than High School | 17.2% (10,693) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 10.6% (6,622) | 0.0% (Data is updating) |
Education Levels Comparison: Taylor vs Woodbine
- A higher percentage of residents in Taylor have no formal schooling at 1.0% compared to 0.0% in Woodbine.
- A higher percentage of residents in Taylor hold a high school diploma at 22.8% compared to 0.0% in Woodbine.
- More residents in Taylor have less than a high school education at 17.2% compared to 0.0% in Woodbine.
- A higher percentage of residents in Taylor hold a bachelor's degree or higher at 10.6% compared to 0.0% in Woodbine.
Crime and Safety
Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.